Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- France
- Denmark
- Belgium
- Netherlands
- Portugal
- Singapore
- Spain
- Australia
- Hong Kong
- Switzerland
- China
- Luxembourg
- Poland
- United Arab Emirates
- Canada
- Italy
- Austria
- Cyprus
- Finland
- Estonia
- Czech
- Ireland
- South Africa
- India
- Latvia
- Bulgaria
- Lithuania
- New Zealand
- Morocco
- Saudi Arabia
- Andorra
- Armenia
- Brazil
- Israel
- Japan
- Worldwide
- Europe
- Greece
- Iceland
- Malta
- Romania
- Slovenia
- Vietnam
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Arts and Literature
- Humanities
- Business
- Chemistry
- Electrical Engineering
- Linguistics
- Social Sciences
- Education
- Environment
- Earth Sciences
- Design
- Physics
- Psychology
- Sports and Recreation
- Philosophy
- Law
- 14 more »
- « less
-
Engineering, or a closely related field. Required qualifications for graduate teaching include a PhD or terminal degree in Computer Engineering, Electrical Engineering, or a closely related field (preferred
-
with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design
-
Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering https://www.ntnu.edu/studies/phiv within three months of your employment contract start date, and that you
-
engineering Engineering » Communication engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 20 Apr 2026 - 23:59 (Europe/Warsaw) Country Poland Type
-
. Position You will work actively on the preparation and defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The
-
markets, data science, deep learning, security valuation, and the numerical/simulation mathematics and computer technology used in the industry. Faculty Director & Service Responsibilities Include (but
-
relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
-
participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant
-
AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials
-
functional theory. - Effective Hamiltonian methods for quantum phenomena in solids. - Development of machine learning tools for topological materials. - Experimental studies of magnetotransport in quantum